Dynamic Color-Correction Matrix for Noise Suppression

The patent transforms the fixed color-correction matrix into a dynamic one by introducing gain-level-dependent correction matrices. Each gain level has its own optimized correction matrix, allowing the system to adapt to varying noise characteristics at different gain levels. This resolves the contradiction by making the correction matrix dynamic rather than static, improving noise suppression without excessive complexity increase.

The patent changes the parameters of the color-correction matrix based on gain level. By storing multiple correction matrices corresponding to different gain levels and selecting the appropriate matrix based on the current gain level, the system adapts to different noise characteristics. This parameter change approach resolves the contradiction between simplicity and effectiveness.

The patent segments the single fixed correction matrix into multiple gain-level-specific correction matrices. Each matrix is independently optimized for its corresponding gain level, allowing precise characterization of noise components at each level. This segmentation resolves the contradiction by maintaining standardization through a systematic multi-matrix approach while achieving precise noise measurement.

The patent changes the correction matrix parameters according to gain level. By storing and selecting different matrices for different gain levels, the system achieves both manufacturing precision (through standardized matrix storage) and measurement precision (through gain-level-specific optimization).

The patent performs preliminary action by pre-calculating and storing multiple correction matrices for different gain levels during the manufacturing or initialization phase. During actual operation, the system simply selects the pre-prepared matrix corresponding to the current gain level, avoiding real-time calculation complexity. This resolves the contradiction by shifting complexity from operation to initialization.

The patent uses copying by storing multiple copies of correction matrices in memory, each corresponding to a different gain level. Instead of calculating different matrices dynamically, the system copies and stores pre-computed matrices and selects the appropriate copy based on gain level, reducing operational complexity while maintaining effectiveness.

The patent introduces dynamics by making the color-correction matrix adaptable to different gain levels while maintaining fast operation. The system dynamically selects the appropriate pre-computed matrix based on the current gain level, achieving both speed (through pre-computation) and adaptability (through gain-level-specific matrices).

The patent applies preliminary action by pre-computing correction matrices for all expected gain levels before actual image processing. This allows the system to quickly switch between different gain-level optimizations without real-time calculation overhead, maintaining high processing speed while achieving full adaptability to different gain levels.